Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability
International audience Groundwater level (GWL) variations can be expressed over a wide range of timescales. As aquifers act as low-pass filters, low-frequency variability (from interannual to decadal timescales) originating from large-scale climate variability represents a significant part of GWL va...
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ftunivnantes:oai:HAL:hal-03660972v1 2023-05-15T17:36:56+02:00 Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability Baulon, Lisa Fossa, Manuel Massei, Nicolas Flipo, Nicolas Gallois, Nicolas Fournier, Matthieu Dieppois, Bastien Boé, Julien Luminita, Danaila Allier, Delphine Bessiere, Hélène Université de Caen Normandie (UNICAEN) Normandie Université (NU) Bureau de Recherches Géologiques et Minières (BRGM) (BRGM) Centre de Géosciences (GEOSCIENCES) Mines Paris - PSL (École nationale supérieure des mines de Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) Centre for Agroecology Coventry University Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique - CERFACS (CERFACS) Vienna, Austria 2022-05-23 https://hal-mines-paristech.archives-ouvertes.fr/hal-03660972 en eng HAL CCSD hal-03660972 https://hal-mines-paristech.archives-ouvertes.fr/hal-03660972 EGU General Assembly 2022 https://hal-mines-paristech.archives-ouvertes.fr/hal-03660972 EGU General Assembly 2022, May 2022, Vienna, Austria [SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology info:eu-repo/semantics/conferenceObject Conference papers 2022 ftunivnantes 2023-02-08T02:53:30Z International audience Groundwater level (GWL) variations can be expressed over a wide range of timescales. As aquifers act as low-pass filters, low-frequency variability (from interannual to decadal timescales) originating from large-scale climate variability represents a significant part of GWL variance. This is typically the case of aquifers in the Seine River basin for which extreme GWL appears largely dependent on such variations. In addition to expected trend patterns (e.g., increase/decrease of seasonal precipitation amounts), which may be induced by climate change, GWL could indeed be modulated by internal modes of climate variability, such as El Nino Southern Oscillation (ENSO) and the North Atlantic Oscillation (NAO). How GWL variability, including extremes, may respond to such changes and variations in climate however remains an open question. To tackle this issue, we implemented an empirical numerical approach allowing to assess the sensitivity of aquifers to changes in large-scale climate variability, using the whole Seine hydrosystem as a case study. The approach consisted in: i) identifying and modifying the spectral content of precipitation, originating from large-scale climate variability, using signal processing; ii) injecting perturbed precipitation fields as input in a physically-based hydrological/hydrogeological model (the CaWaQS software) for the Seine river basin. We used the Safran precipitation field for calibration and validation over the period 1970-2018. GWL data for the Seine basin is a subset of a database of climate-sensitive time series (i.e. low anthropogenic influence) recently set up at the BRGM and University of Rouen Normandy. First, the Safran reanalysis and observed GWL time series were analyzed using continuous wavelet transform to identify the different timescales of variability: interannual (2-4yr), multiannual (5-8yr) and decadal (~15yr). Then, the different timescale of precipitation time series were extracted using maximum overlap discrete wavelet transform. For ... Conference Object North Atlantic North Atlantic oscillation Université de Nantes: HAL-UNIV-NANTES Rouen ENVELOPE(-70.883,-70.883,-69.167,-69.167) |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology |
spellingShingle |
[SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology Baulon, Lisa Fossa, Manuel Massei, Nicolas Flipo, Nicolas Gallois, Nicolas Fournier, Matthieu Dieppois, Bastien Boé, Julien Luminita, Danaila Allier, Delphine Bessiere, Hélène Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability |
topic_facet |
[SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology |
description |
International audience Groundwater level (GWL) variations can be expressed over a wide range of timescales. As aquifers act as low-pass filters, low-frequency variability (from interannual to decadal timescales) originating from large-scale climate variability represents a significant part of GWL variance. This is typically the case of aquifers in the Seine River basin for which extreme GWL appears largely dependent on such variations. In addition to expected trend patterns (e.g., increase/decrease of seasonal precipitation amounts), which may be induced by climate change, GWL could indeed be modulated by internal modes of climate variability, such as El Nino Southern Oscillation (ENSO) and the North Atlantic Oscillation (NAO). How GWL variability, including extremes, may respond to such changes and variations in climate however remains an open question. To tackle this issue, we implemented an empirical numerical approach allowing to assess the sensitivity of aquifers to changes in large-scale climate variability, using the whole Seine hydrosystem as a case study. The approach consisted in: i) identifying and modifying the spectral content of precipitation, originating from large-scale climate variability, using signal processing; ii) injecting perturbed precipitation fields as input in a physically-based hydrological/hydrogeological model (the CaWaQS software) for the Seine river basin. We used the Safran precipitation field for calibration and validation over the period 1970-2018. GWL data for the Seine basin is a subset of a database of climate-sensitive time series (i.e. low anthropogenic influence) recently set up at the BRGM and University of Rouen Normandy. First, the Safran reanalysis and observed GWL time series were analyzed using continuous wavelet transform to identify the different timescales of variability: interannual (2-4yr), multiannual (5-8yr) and decadal (~15yr). Then, the different timescale of precipitation time series were extracted using maximum overlap discrete wavelet transform. For ... |
author2 |
Université de Caen Normandie (UNICAEN) Normandie Université (NU) Bureau de Recherches Géologiques et Minières (BRGM) (BRGM) Centre de Géosciences (GEOSCIENCES) Mines Paris - PSL (École nationale supérieure des mines de Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) Centre for Agroecology Coventry University Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique - CERFACS (CERFACS) |
format |
Conference Object |
author |
Baulon, Lisa Fossa, Manuel Massei, Nicolas Flipo, Nicolas Gallois, Nicolas Fournier, Matthieu Dieppois, Bastien Boé, Julien Luminita, Danaila Allier, Delphine Bessiere, Hélène |
author_facet |
Baulon, Lisa Fossa, Manuel Massei, Nicolas Flipo, Nicolas Gallois, Nicolas Fournier, Matthieu Dieppois, Bastien Boé, Julien Luminita, Danaila Allier, Delphine Bessiere, Hélène |
author_sort |
Baulon, Lisa |
title |
Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability |
title_short |
Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability |
title_full |
Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability |
title_fullStr |
Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability |
title_full_unstemmed |
Sensitivity of groundwater level in the Seine River basin to changes in interannual to decadal climate variability |
title_sort |
sensitivity of groundwater level in the seine river basin to changes in interannual to decadal climate variability |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal-mines-paristech.archives-ouvertes.fr/hal-03660972 |
op_coverage |
Vienna, Austria |
long_lat |
ENVELOPE(-70.883,-70.883,-69.167,-69.167) |
geographic |
Rouen |
geographic_facet |
Rouen |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
EGU General Assembly 2022 https://hal-mines-paristech.archives-ouvertes.fr/hal-03660972 EGU General Assembly 2022, May 2022, Vienna, Austria |
op_relation |
hal-03660972 https://hal-mines-paristech.archives-ouvertes.fr/hal-03660972 |
_version_ |
1766136601176440832 |